Street View Imagery (SVI) in the Built Environment: A Theoretical and Systematic Review

Street view imagery (SVI) provides efficient access to data that can be used research spatial quality at the human scale. The previous reviews have mainly focused on specific health findings and neighbourhood environments. There has not been a comprehensive review of this topic. In paper, we systematically literature application SVI in built environment, following formal innovation–decision framework. main are as follows: (I) remains an effective tool for automated assessments. This offers new avenue expand environment-measurement methods include perceptions addition physical features. (II) Currently, is functional valuable quantifying sentiment perception, semantic speculation. (III) significant dilemmas concerning adoption technology related image acquisition, quality, temporal distribution, accuracy. (IV) rapid assessment researchers with guidance implementation SVI. Data integration management, proper service provider selection, metrics measurements critical success factors. A notable trend towards focus which more refined way depict urban forms terms social spaces.